speech-recognition

Feature request

We currently have 2 monocular depth estimation models in the library, namely DPT and GLPN.

It would be great to have a pipeline for this task, with the following API:

from transformers import pipeline

pipe = pipeline("depth-estimation")
pipe("ca

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

English text: The girls stared at their father. Mrs. Bennet said only, "Nonsense, nonsense!"

remove ! then the error disappeared.

Error Log:

Traceback (most recent call last):
File "readText_Paddle.py", line 1175, in
englishTxt2WavbyPaddle(mp3filepath,textforSpeak)
File "readText_Paddle.py", line 147, in englishTxt2WavbyPaddle
wav_file = tts_executor(
File "

As implemented in Python in

alphacep/vosk-api@5e46825

一个非常方便的python录音程序，专门为MASR量身定做：
按回车开始录音，说完话后再按Enter结束录音并显示识别结果，录音文件会以识别的文本命名保存，方便后期统计识别率。

代码地址:
https://github.com/deepxuexi/ARFASR

如果觉得好用，给我点个star，谢谢！